CN101902755B - Method and device for simulating intelligent antenna and method and device for acquiring broadcast beam weight - Google Patents

Abstract

The invention discloses a method and a device for simulating an intelligent antenna and a method and a device for acquiring broadcast beam weight. The simulation method comprises the following steps of: coinciding a phase centre of an intelligent antenna array with a phase centre of a microwave unreflected chamber, and measuring an amplitude diagram and a phase diagram of each interface of the intelligent antenna array in the microwave unreflected chamber, wherein all interfaces except the currently measured interface are connected with matching impedance in the process of measuring the amplitude diagram and the phase diagram of each interface; and multiplying amplitude and phase which are input by each interface of the intelligent antenna array by the measured amplitude and phase of the corresponding interface, adding product results of each interface together, squaring an absolute value of the added result, and simulating the actual power output value of the intelligent antenna array by using the acquired squared value. The acquisition method comprises the following steps of: building an intelligent antenna array model by the simulation method; and acquiring the broadcast beam weight by using the model. By applying the built model, the performance of the intelligent antenna can be truly reflected, and the acquired broadcast beam weight can meet the requirements of industrial standard.

Description

Smart antenna analogy method and device and broadcast beam weight acquisition methods and device

Technical field

The present invention relates to the intelligent antenna technology field in the GSM, relate in particular to smart antenna analogy method and device and broadcast beam weight acquisition methods and device.

Background technology

The array structure antenna that smart antenna is made up of according to certain structural arrangement N the identical single antenna of orientation.Intelligent antenna technology is a research focus of current mobile communication technology.In the stages such as research and development test of GSM, usually need to set up through computer in advance the model of smart antenna, the performance of smart antenna is simulated, obtain corresponding system parameters.

At present, mainly be the model of directly setting up smart antenna through electromagnetic field software.Yet; As everyone knows; Electromagnetic field software itself is to the description of electromagnetic nature and actual conditions deviation to some extent, and the algorithm of setting up the smart antenna model in addition is not accurate enough to the description of smart antenna genuine property, makes the intelligent antenna performance of the smart antenna model reflection of setting up through electromagnetic field software differ bigger with actual intelligent antenna performance; The system parameters that causes obtaining according to this smart antenna model is not accurate enough, is difficult to satisfy the requirement of GSM.

For example; When adopting the TD system of smart antenna to be used to realize that omni cell or the sector of PCCPCH channel cover; Need plan demand according to heterogeneous networks, realize that it is wave beams such as 360 degree, 30 degree, 65 degree, 90 degree that the PCCPCH channel covers beamwidth, or other self-defining wave beam.Wherein, each above-mentioned wave beam be form, all need specific amplitude and phase excitation be applied smart antenna.Amplitude and phase place that this is specific are referred to as broadcast beam weight.This broadcast beam weight is most important to the performance impact of TD system.

When the test smart antenna; Smart antenna for the N port; The broadcast beam merit that needs to make the N port is divided plate, divides each port of plate and each port of smart antenna to join respectively this broadcast beam merit, divides each port of plate to import corresponding broadcast beam weight to smart antenna respectively through this broadcast beam merit; And in microwave dark room, said smart antenna is tested; Resulting test result need satisfy the industry standard YD/T 1701.7-2007 of GSM, the relevant regulations in " TD-SCDMA digital mobile cellular telecommunication net smart antenna, first: antenna ".

At present, set up the model of smart antenna usually through electromagnetic field software,, thereby obtain broadcast beam weight through the performance of this modeling smart antenna.As stated; Owing to can not reflect the characteristic of smart antenna truly through the smart antenna model of electromagnetic field software foundation; Therefore; After will importing real smart antenna through the broadcast beam weight that this model obtains, test result that in microwave dark room, obtains and smart antenna standard index exist than big-difference, can't satisfy the requirement of GSM.

Summary of the invention

In view of this; The purpose of the embodiment of the invention is to provide a kind of smart antenna analogy method and device and broadcast beam weight acquisition methods and device; Make the model of setting up through said analogy method can reflect the performance of smart antenna truly, the broadcast beam weight that is obtained is imported the requirement that can satisfy industry standard behind the real smart antenna.

For achieving the above object, the technical scheme of the embodiment of the invention specifically is achieved in that

A kind of smart antenna analogy method, this method comprises:

The phase center of smart antenna array is overlapped with the phase center of microwave dark room; In said microwave dark room, measure the map of magnitudes and the phase diagram of each port of said smart antenna array; Wherein, In the map of magnitudes and phase diagram measuring process of each port, keep the port beyond the current measured port to connect matched impedance;

With the modelling of smart antenna array be:

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

Wherein, ka is an antenna index, and Ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the range value of the corresponding port of input ka root antenna; AntPHZ (ka) is the phase value of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point.

A kind of smart antenna broadcast beam weight acquisition methods, this method comprises:

The phase center of smart antenna array is overlapped with the phase center of microwave dark room; In said microwave dark room, measure the map of magnitudes and the phase diagram of each port of said smart antenna array; Wherein, In the map of magnitudes and phase diagram measuring process of each port, keep the port beyond the current measured port to connect matched impedance;

Set the initial value of broadcast beam weight;

Model through smart antenna array

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

The actual power output valve of said smart antenna array when simulation is imported the corresponding port with broadcast beam weight;

Wherein, ka is an antenna index, and ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the corresponding range value of broadcast beam weight of the corresponding port of input ka root antenna; AntPHZ (ka) is the corresponding phase value of broadcast beam weight of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point;

Actual power output valve and the target power output valve relatively simulated; According to the difference update broadcast beam weight of the two; And return the simulation said actual power output valve step; Difference until the two satisfies predetermined condition, corresponding broadcast beam weight is confirmed as the broadcast beam weight that obtains.

A kind of smart antenna analogue means, this device comprises memory module, input module and analog module;

Said memory module; Store the map of magnitudes information and the phase diagram information of each port of the actual smart antenna array that records; Wherein, Said map of magnitudes information and said phase diagram information are to overlap with the phase center of microwave dark room through the phase center with said smart antenna array, and keep port beyond the current measured port to connect that matched impedance measures;

Said input module, the range value and the phase value of each port of reception input smart antenna array respectively;

Said analog module is through the model of smart antenna array

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

The actual power output valve of said smart antenna array when simulation is imported the corresponding port with broadcast beam weight;

Wherein, ka is an antenna index, and Ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the range value of the corresponding port of input ka root antenna; AntPHZ (ka) is the phase value of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point.

A kind of smart antenna broadcast beam weight deriving means, this device comprises memory module, input module, analog module and evaluation module;

Said memory module; Store the map of magnitudes information and the phase diagram information of each port of the actual smart antenna array that records; Wherein, Said map of magnitudes information and said phase diagram information are to overlap with the phase center of microwave dark room through the phase center with said smart antenna array, and keep port beyond the current measured port to connect that matched impedance measures;

Said input module, the broadcast beam weight of each port of reception input smart antenna array respectively;

Said analog module is through the model of smart antenna array

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

The actual power output valve of said smart antenna array when simulation is imported the corresponding port with broadcast beam weight, and the actual power output valve that will simulate is issued said evaluation module;

Wherein, ka is an antenna index, and Ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the corresponding range value of broadcast beam weight of the corresponding port of input ka root antenna; AntPHZ (ka) is the corresponding phase value of broadcast beam weight of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point;

Said evaluation module; The broadcast beam weight of each port of input smart antenna array is issued input module; Receive the actual power output valve that analog module simulates, relatively the actual power output valve and the target power output valve of simulation are in the two difference not during first predetermined condition; Upgrade broadcast beam weight; The broadcast beam weight that upgrades is issued said input module, when the difference second predetermined condition of the two, corresponding broadcast beam weight is confirmed as the broadcast beam weight that obtains.

It is thus clear that because technical scheme provided by the invention has been utilized map of magnitudes and the phase diagram that in microwave dark room, truly measures, model of therefore setting up or device can reflect the performance of smart antenna truly.Correspondingly; Utilize said model or device to simulate broadcast beam weight is imported the real output behind the corresponding smart antenna array; Through relatively being somebody's turn to do the real output of simulation and the target output in the industry standard; Constantly revise broadcast beam weight according to comparative result, thereby after can making that the broadcast beam weight that obtains is imported real smart antenna, the network coverage characteristic of smart antenna can satisfy the requirement of industry standard.

Description of drawings

Fig. 1 is a smart antenna analogy method flow chart provided by the invention.

Fig. 2 is a smart antenna broadcast beam weight acquisition methods flow chart provided by the invention.

Fig. 3 is the method flow diagram that obtains broadcast beam weight through Minimum Variance method.

Fig. 4 is the amplitude and the phase pattern of antenna 1 in the smart antenna array that in microwave dark room, records.

Fig. 5 is the amplitude and the phase pattern of antenna 2 in the smart antenna array that in microwave dark room, records.

Fig. 6 is the amplitude and the phase pattern of antenna 3 in the smart antenna array that in microwave dark room, records.

Fig. 7 is the amplitude and the phase pattern of antenna 4 in the smart antenna array that in microwave dark room, records.

Fig. 8 is the amplitude and the phase pattern of antenna 5 in the smart antenna array that in microwave dark room, records.

Fig. 9 is the amplitude and the phase pattern of antenna 6 in the smart antenna array that in microwave dark room, records.

Figure 10 is with w _BCH65The power output map that input smart antenna array model emulation obtains with w _BCH65The contrast sketch map of the power output map that input smart antenna array reality records in microwave dark room.

Figure 11 is a smart antenna analogue means structure chart provided by the invention.

Figure 12 is a smart antenna broadcast beam weight deriving means structure chart provided by the invention.

Embodiment

For making the object of the invention, technical scheme and advantage clearer, below with reference to the accompanying drawing embodiment that develops simultaneously, to further explain of the present invention.

The present invention is utilized in map of magnitudes and the phase diagram that truly measures each port of smart antenna in the microwave dark room, sets up the model of smart antenna.When obtaining broadcast beam weight; Utilize said modeling broadcast beam weight to be imported the actual power output valve of smart antenna; Through the real output value of relatively simulation and the target power output valve in the industry standard; Revise broadcast beam weight, thus definite broadcast beam weight that finally obtains.

Particularly, the invention provides smart antenna analogy method and device and broadcast beam weight acquisition methods and device, lift embodiment below respectively and introduce.

First embodiment:

Fig. 1 is a smart antenna analogy method flow chart provided by the invention.As shown in Figure 1, this method comprises:

Step 101, the map of magnitudes and the phase diagram of each port of measurement smart antenna in microwave dark room.

In this step; The phase center of smart antenna array is overlapped with the phase center of microwave dark room; In said microwave dark room, measure the map of magnitudes and the phase diagram of each port of said smart antenna array; Wherein, in each port map of magnitudes and phase diagram measuring process, keep the port beyond the current measured port to connect matched impedance.

Step 102 is utilized in the model that actual measurement obtains in the microwave dark room map of magnitudes and phase diagram are set up smart antenna array.

In this step; Will be to the amplitude and the phase multiplication of the amplitude of each port input of said smart antenna array and phase place and measured corresponding port; Result of product addition with each port; The absolute value of addition result is carried out square, with the actual power output valve of this smart antenna array of gained square value simulation.

Second embodiment:

Fig. 2 is a smart antenna broadcast beam weight acquisition methods flow chart provided by the invention.As shown in Figure 2, this method comprises:

Step 201 is set up the model of smart antenna.

In this step, adopt method shown in Figure 1 to set up the model of smart antenna.

Step 202, the initial value of setting broadcast beam weight.

In this step, the initial value of broadcast beam weight can arbitrarily be confirmed, also can rule of thumb be worth definite.

Step 203, the smart antenna modeling of utilize setting up is imported the real output value behind the smart antenna array with broadcast beam weight.

In this step; Amplitude and phase multiplication with broadcast beam weight and measured corresponding port; Result of product addition with each port; The absolute value of addition result is carried out square, with the actual power output valve of gained square result said smart antenna array when said broadcast weight value is imported said corresponding port.

Step 204, relatively the actual power output valve and the target power output valve of simulation obtain the difference between the two.

Said difference for example is the actual power output valve of simulation and the variance of target power output valve.

Step 205 judges whether said difference satisfies predetermined condition, if, execution in step 207, otherwise, execution in step 206.

Step 206 according to the difference update broadcast beam weight of the two, and is returned step 203.

Step 207 is confirmed as corresponding broadcast beam weight the broadcast beam weight that obtains.

In step 205～207, whether the variance of actual power output valve and target power output valve of judging simulation less than first predetermined value, if less than, then upgrade broadcast beam weight.It is big that first predetermined value wherein can be provided with, and is convenient to like this get into the step of upgrading broadcast beam weight, thereby can constantly revises broadcast beam weight.

Wherein, After getting into the process of constantly revising broadcast beam weight; Write down minimum variance in the variance of actual power output valve and target power output valve of each time simulation, and the corresponding broadcast beam weight of variance that should minimum, judge this minimum variance keeps the number of times of minimum whether to reach second predetermined value in the pairing variance of each time simulation; If; The corresponding broadcast beam weight of the variance that this is minimum is confirmed as the broadcast beam weight that obtains, and if not, returns the step of upgrading broadcast beam weight.

The computational methods of said variance are: simulate the actual power output valve respectively according to different test point in the map of magnitudes that records and the phase diagram; Calculate the actual power output valve target power output valve corresponding of simulation and subtract each other the difference that obtains with said test point; The difference that each test point is corresponding is carried out weighted average, with result of weighted average as said variance.

Wherein,, confirm the corresponding weights coefficient respectively, in order to the corresponding difference of each test point is carried out weighted average according to requirement to approximation ratio between the actual power output valve of different test points in map of magnitudes and the phase diagram and the target power output valve.Particularly, high more to the requirement of the approximation ratio between said actual power output valve and the target power output valve, the weight coefficient of then corresponding test point correspondence is big more.

The concrete grammar of said renewal broadcast beam weight can for: on the basis of current broadcast wave beam weight, add or deduct the renewal step-length of said broadcast beam weight randomly, with the gained result as the broadcast beam weight that upgrades.

Wherein, after upgrading broadcast beam weight, the broadcast beam weight that can also judge renewal whether in preset range, if, return step 203, if not, return the step of upgrading broadcast beam weight.

It is because consider the restriction of every antenna maximum power in the smart antenna array that broadcast beam weight is limited in the preset range; Need the range value of every antenna be limited; Because each broadcast beam weight is all corresponding corresponding range value and phase value; Therefore, need broadcast beam weight be limited in the corresponding scope.

In Fig. 2; To come constantly to revise broadcast beam weight through the method for minimum variance; Thereby the method for obtaining the broadcast beam weight that finally satisfies network coverage requirement is an example, and the broadcast beam weight acquisition methods is illustrated, and Minimum Variance method wherein can adopt least variance method of the prior art to realize; In order to reduce amount of calculation; The invention allows for a kind of least variance method of definite broadcast beam weight locally optimal solution, be elaborated in the face of said Minimum Variance method down, specifically referring to Fig. 3.

Fig. 3 is the method flow diagram that obtains broadcast beam weight through Minimum Variance method.As shown in Figure 3, this method comprises:

Step 301 is set initial values such as broadcast beam weight.

Initial value in this step comprises: the initial value of broadcast beam weight specifically comprises amplitude initial value antAMP ₀(ka) and phase place initial value antPHZ ₀(ka); The renewal step-length of broadcast beam weight specifically comprises amplitude renewal step-length step_AMP ₀(ka) and phase place upgrade step-length step_PHZ ₀(ka); Minimum variance memory ε ' is used to store the actual power output valve of simulation and the minimum variance between the target power output valve; Minimum variance is set to be kept time counter count and this count is initialized as 0; Minimum variance keeps frequency threshold value M; Amplitude range threshold value T (ka).Wherein, ka is an antenna index.

Step 302 adds or deducts step_AMP randomly on the basis of the range value that current broadcast wave beam weight antAMP (ka) is characterized ₀(ka), on the basis of the phase value that antAMP (ka) is characterized, add or deduct step_PHZ ₀(ka).

In this step, can produce random number, confirm to add or deduct step_AMP according to the size of random number ₀(ka) or step_PHZ ₀(ka).For example, produce the random number between 0～1, when the random number that produces greater than 0.5 the time, add step_AMP ₀(ka) or step_PHZ ₀(ka), be less than or equal at 0.5 o'clock, deduct step_AMP ₀(ka) or step_PHZ ₀(ka).

Step 303, the antAMP (ka) that judge to upgrade whether in preset range, if, execution in step 304, otherwise, return step 302.

In this step, judge T (ka) whether antAMP (ka)≤1 sets up, if, execution in step 304, otherwise return step 302.Wherein, consider the restriction of the maximum power of every antenna, the maximum of signal amplitude of every antenna of input is restricted to 1.

Step 304, utilize the smart antenna modeling with the broadcast beam weight input smart antenna that upgrades after, the performance number of the actual output of said smart antenna is calculated performance number that reality exports and the variance ε between the target power output valve.

In this step, $\mathrm{\ϵ}=\frac{1}{K}\underset{i=1}{\overset{K}{\mathrm{\Σ}}}[P\left(\mathrm{\θ}\left(i\right)\right)-P_{\mathrm{Ideal}}\left(\mathrm{\θ}\left(i\right)\right)]\·C\left(i\right).$

Wherein,

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

Ka is the number of antenna that smart antenna array comprises, and K is the number of the test point from actual map of magnitudes that records and phase diagram, chosen, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna, the phase value of i test point, P (θ (i)) are the actual power output valves that range value and the phase value according to corresponding test point simulates, P _Ideal(θ (i)) is the corresponding target power value of corresponding test point, and C (i) is the weight coefficient of corresponding test point.Wherein, the value of θ (i) be-180 spend to 180 the degree between arbitrary value.

P _Ideal(θ (i)) can take from the ideal power directional diagram of arbitrary shape; Specifically take from the ideal power directional diagram of which shape; Depend on after the broadcast beam weight input aerial battle array of obtaining require the power radiation pattern of the actual output of antenna array to approach which ideal power directional diagram.For example, to make at present, require the power radiation pattern of the actual output of antenna array to approach the ideal power directional diagram of 65 degree, then P after the broadcast beam weight input aerial battle array _Ideal(θ (i)) takes from the ideal power directional diagram of said 65 degree.

The concrete value of C (i) requires to set according to approaching of corresponding test point; Particularly; If the actual power output valve that simulates according to this test point and the approximation ratio between the target power output valve are had relatively high expectations, then C (i) be provided with big relatively, otherwise setting is relatively littler.

Whether step 305 judges the ε that calculates less than the value among the minimum variance memory ε ', if; With the count zero clearing, the value among the ε ' is updated to ε, the value in the broadcast beam weight memory is updated to current broadcast beam weight; Return step 302, if not, execution in step 306.

Wherein, the initial value of ε ' is the minimum variance threshold value.

Step 306 adds 1 with the value of count.

Whether step 307, the value of judging count greater than M, if, execution in step 308, otherwise, step 302 returned.

Step 308 is confirmed as the value in the broadcast beam weight memory broadcast beam weight that finally obtains.

It is big more that M value wherein is provided with, and the broadcast beam weight that obtains is accurate more.

Method amount of calculation shown in Figure 3 is less, can obtain the locally optimal solution of broadcast beam weight quickly.Certainly,, also can obtain many group broadcast beam weights, therefrom choose the minimum broadcast beam weight of corresponding ε as the broadcast beam weight that finally obtains through adopting method shown in Figure 3 repeatedly if dissatisfied to the locally optimal solution of obtaining.Wherein, when adopting method shown in Figure 3 to obtain many group broadcast beam weights repeatedly, can utilize the corresponding broadcast beam weight of minimum ε of having tried to achieve to come the initialization operation of completing steps 301.

Inventor of the present invention utilizes Fig. 2 and method shown in Figure 3, has obtained the broadcast beam weight of the smart antenna array of 6 antennas, introduces in the face of said acquisition process down:

Step 1, the phase center of whole smart antenna array is overlapped with the phase center of microwave dark room, at this moment, measure each port of smart antenna array (ka=1,2 ..., Ka) the amplitude pattern ampPattern of the H face when other all of the ports all connect matched impedance _KaWith phase pattern phasePattern _Ka, wherein the angular distribution of H face is θ.

The amplitude pattern of H face and the angular distribution of phase pattern are: θ=[θ ₁θ ₂θ _nθ _N], ampPattern at this moment _KaDimension also be 1 * N matrix, unit is dB, wherein N is a natural number:

ampPattern ₁=[a ₁₁?a ₁₂…a _1n…a _1N]

…

ampPattern _ka=[a _ka1?a _ka2…a _kan…a _kaN]

…

ampPattern _Ka=[a _Ka1?a _Ka2…a _Kan…a _KaN]

At this moment phasePattern _KaDimension also be 1 * N matrix, unit for the degree:

phasePattern ₁=[p ₁₁?p ₁₂…p _1n…p _1N]

…

phasePattern _ka=[p _ka1?p _ka2…p _kan…p _kaN]

…

phasePattern _Ka=[p _Ka1?p _Ka2…p _Kan…p _KaN]

Fig. 4 is the amplitude and the phase pattern of antenna 1 in the smart antenna array that in microwave dark room, records.

Fig. 5 is the amplitude and the phase pattern of antenna 2 in the smart antenna array that in microwave dark room, records.

Fig. 6 is the amplitude and the phase pattern of antenna 3 in the smart antenna array that in microwave dark room, records.

Fig. 7 is the amplitude and the phase pattern of antenna 4 in the smart antenna array that in microwave dark room, records.

Fig. 8 is the amplitude and the phase pattern of antenna 5 in the smart antenna array that in microwave dark room, records.

Fig. 9 is the amplitude and the phase pattern of antenna 6 in the smart antenna array that in microwave dark room, records.

Among Fig. 4 to Fig. 9, the left side is an amplitude pattern, and the right side is a phase pattern.

Step 2 is set up the model of smart antenna array according to the amplitude pattern that records in the step 1 and phase pattern.

In this step, the model of the smart antenna array of foundation is:

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}w\left(\mathrm{ka}\right)\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

W wherein (ka) is the broadcast beam weight that is input to the corresponding port of ka root antenna.

W (ka) can be expressed as the form of range value and phase value, is specially:

$w\left(\mathrm{ka}\right)=\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})$

Therefore, have:

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

Wherein, P (θ (i)) is exactly the performance number of the actual output of smart antenna array of simulation.

Step 3, relatively the smart antenna array actual power output valve and the target power output valve of simulation are obtained broadcast beam weight through Minimum Variance method.

In this embodiment, choose the target power output valve according to 65 degree broadcast beam ideal orientation figure.Wherein, the parameter of 65 degree broadcast beam ideal orientation figure is following:

Obtaining broadcast beam weight according to method shown in Figure 3 is:

w _BCH?65=[0.8320

0.0383+0.9983i

-0.8383+0.5077i

-0.8144+0.5269i

0.1253+0.9921i

0.8320+0.0087i]

Figure 10 is with w _BCH65The power output map that input smart antenna array model emulation obtains with w _BCH65The contrast sketch map of the power output map that input smart antenna array reality records in microwave dark room.

Among Figure 10, curve 1 is the power output map that emulation obtains, and curve 2 is actual power output maps that in microwave dark room, record.Visible by Figure 10, the approximation ratio of curve 1 and curve 2 is fine, and this has proved the characteristic that smart antenna array analogy method of the present invention can real embodiment smart antenna array itself.

Except adopting least variance method to obtain the broadcast beam weight, can also adopt the next broadcast beam weights of constantly revising of other algorithms such as genetic algorithm, thereby obtain final broadcast beam weight.

In addition; Utilize the smart antenna array model among first embodiment; Not only can simulate the actual power output valve of broadcast beam weight being imported smart antenna array behind each port; Can also simulate weights with other types, after for example the business beam shaping weights are imported the corresponding port, the actual power output valve of smart antenna array.

The 3rd embodiment:

Figure 11 is smart antenna analogue means structure chart provided by the invention, and is shown in figure 11, and this device comprises memory module 1101, input module 1102 and analog module 1103.

Memory module 1101; Store the map of magnitudes information and the phase diagram information of each port of the actual smart antenna array that records; Wherein, Said map of magnitudes information and said phase diagram information are to overlap with the phase center of microwave dark room through the phase center with said smart antenna array, and keep port beyond the current measured port to connect that matched impedance measures.

Input module 1102, the range value and the phase value of each port of reception input smart antenna array respectively.

Analog module 1103; Amplitude and phase multiplication with range value and the phase value of each port of input and measured corresponding port; With the result of product addition of each port, the absolute value of addition result is carried out square, with the actual power output valve of this smart antenna array of gained square value simulation.

The 4th embodiment:

Figure 12 is a smart antenna broadcast beam weight deriving means structure chart provided by the invention, and shown in figure 12, this device comprises memory module 1201, input module 1202, analog module 1203 and evaluation module 1204.

Memory module 1201; Store the map of magnitudes information and the phase diagram information of each port of the actual smart antenna array that records; Wherein, Said map of magnitudes information and said phase diagram information are to overlap with the phase center of microwave dark room through the phase center with said smart antenna array, and keep port beyond the current measured port to connect that matched impedance measures.

Input module 1202, the broadcast beam weight of each port of reception input smart antenna array respectively.

Analog module 1203; With the broadcast beam weight of each port of input and the amplitude and the phase multiplication of measured corresponding port; Result of product addition with each port; The absolute value of addition result is carried out square, and with the actual power output valve of this smart antenna array of gained square value simulation, and the actual power output valve that will simulate is issued evaluation module 1204.

Evaluation module 1204; The broadcast beam weight of each port of input smart antenna array is issued input module 1202; Receive the actual power output valve that analog module 1203 simulates, relatively the actual power output valve and the target power output valve of simulation are in the two difference not during first predetermined condition; Upgrade broadcast beam weight; The broadcast beam weight that upgrades is issued input module 1202, when the difference second predetermined condition of the two, corresponding broadcast beam weight is confirmed as the broadcast beam weight that obtains.

Wherein, whether evaluation module 1204 also can judge the variance of actual power output valve and target power output valve of simulation less than first predetermined value, if less than, then upgrade broadcast beam weight.

Evaluation module 1204 also can write down minimum variance in the variance of actual power output valve and target power output valve of each time simulation; And the corresponding broadcast beam weight of variance that should minimum; Judge this minimum variance keeps minimum number of times whether to reach second predetermined value in the pairing variance of each time simulation, if the corresponding broadcast beam weight of the variance that this is minimum is confirmed as the broadcast beam weight that obtains; If not, upgrade broadcast beam weight.

Evaluation module 1204 also can add or deduct the renewal step-length of said broadcast beam weight randomly on the basis of current broadcast wave beam weight, with the broadcast beam weight of gained result as renewal.

The broadcast beam weight that evaluation module 1204 also can be judged renewal whether in preset range, if, the broadcast beam weight that upgrades is issued input module 1202, if not, upgrade broadcast beam weight again.

The above is merely preferred embodiment of the present invention, is not to be used to limit protection scope of the present invention, all any modifications of within spirit of the present invention and principle, being made, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (15)

1. a smart antenna analogy method is characterized in that, this method comprises:

The phase center of smart antenna array is overlapped with the phase center of microwave dark room; In said microwave dark room, measure the map of magnitudes and the phase diagram of each port of said smart antenna array; Wherein, In the map of magnitudes and phase diagram measuring process of each port, keep the port beyond the current measured port to connect matched impedance;

With the modelling of smart antenna array be:

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

Wherein, ka is an antenna index, and Ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the range value of the corresponding port of input ka root antenna; AntPHZ (ka) is the phase value of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point.

2. smart antenna broadcast beam weight acquisition methods is characterized in that this method comprises:

The phase center of smart antenna array is overlapped with the phase center of microwave dark room; In said microwave dark room, measure the map of magnitudes and the phase diagram of each port of said smart antenna array; Wherein, In the map of magnitudes and phase diagram measuring process of each port, keep the port beyond the current measured port to connect matched impedance;

Set the initial value of broadcast beam weight;

Model through smart antenna array

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

The actual power output valve of said smart antenna array when simulation is imported the corresponding port with broadcast beam weight;

Wherein, ka is an antenna index, and Ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the corresponding range value of broadcast beam weight of the corresponding port of input ka root antenna; AntPHZ (ka) is the corresponding phase value of broadcast beam weight of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point;

Actual power output valve and the target power output valve relatively simulated; According to the difference update broadcast beam weight of the two; And return the simulation said actual power output valve step; Difference until the two satisfies predetermined condition, corresponding broadcast beam weight is confirmed as the broadcast beam weight that obtains.

3. method as claimed in claim 2 is characterized in that, said difference update broadcast beam weight according to the two comprises:

Whether the variance of actual power output valve and target power output valve of judging simulation less than first predetermined value, if less than, then upgrade broadcast beam weight.

4. method as claimed in claim 3 is characterized in that, said difference until the two satisfies predetermined condition, corresponding broadcast beam weight is confirmed as the broadcast beam weight that obtains comprise:

Write down minimum variance in the variance of actual power output valve and target power output valve of each time simulation; And the corresponding broadcast beam weight of variance that should minimum; Judge this minimum variance keeps minimum number of times whether to reach second predetermined value in the pairing variance of each time simulation, if the corresponding broadcast beam weight of the variance that this is minimum is confirmed as the broadcast beam weight that obtains; If not, return the step of upgrading broadcast beam weight.

5. like claim 3 or 4 described methods, it is characterized in that the computational methods of said variance are:

Simulate the actual power output valve respectively according to different test point in the map of magnitudes that records and the phase diagram; Calculate the actual power output valve target power output valve corresponding of simulation and subtract each other the difference that obtains with said test point; The difference that each test point is corresponding is carried out weighted average, with result of weighted average as said variance.

6. method as claimed in claim 5; It is characterized in that; According to requirement to approximation ratio between the actual power output valve of different test points in map of magnitudes and the phase diagram and the target power output valve; Confirm the corresponding weights coefficient respectively, in order to the corresponding difference of each test point is carried out weighted average.

7. method as claimed in claim 6 is characterized in that, and is high more to the requirement of the approximation ratio between said actual power output valve and the target power output valve, and the weight coefficient of then corresponding test point correspondence is big more.

8. like claim 3 or 4 described methods, it is characterized in that said renewal broadcast beam weight is:

On the basis of current broadcast wave beam weight, add or deduct the renewal step-length of said broadcast beam weight randomly, with the broadcast beam weight of gained result as renewal.

9. method as claimed in claim 8 is characterized in that, after the said renewal broadcast beam weight, this method further comprises:

The broadcast beam weight that judge to upgrade whether in preset range, if, return the step of simulation actual power output valve, if not, return the step of upgrading broadcast beam weight.

10. a smart antenna analogue means is characterized in that, this device comprises memory module, input module and analog module;

Said memory module; Store the map of magnitudes information and the phase diagram information of each port of the actual smart antenna array that records; Wherein, Said map of magnitudes information and said phase diagram information are to overlap with the phase center of microwave dark room through the phase center with said smart antenna array, and keep port beyond the current measured port to connect that matched impedance measures;

Said input module, the range value and the phase value of each port of reception input smart antenna array respectively;

Said analog module is through the model of smart antenna array

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

The actual power output valve of said smart antenna array when simulation is imported the corresponding port with broadcast beam weight;

Wherein, ka is an antenna index, and Ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the range value of the corresponding port of input ka root antenna; AntPHZ (ka) is the phase value of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point.

11. a smart antenna broadcast beam weight deriving means is characterized in that this device comprises memory module, input module, analog module and evaluation module;

Said memory module; Store the map of magnitudes information and the phase diagram information of each port of the actual smart antenna array that records; Wherein, Said map of magnitudes information and said phase diagram information are to overlap with the phase center of microwave dark room through the phase center with said smart antenna array, and keep port beyond the current measured port to connect that matched impedance measures;

Said input module, the broadcast beam weight of each port of reception input smart antenna array respectively;

Said analog module is through the model of smart antenna array

$P\left(\mathrm{\θ}\left(i\right)\right)={|\underset{\mathrm{ka}=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}\mathrm{antAMP}\left(\mathrm{ka}\right)\·\exp (j\·\frac{\mathrm{antPHZ}\left(\mathrm{ka}\right)\·\mathrm{\π}}{180})\·{10}^{\frac{\mathrm{ampPatter}{n}_{\mathrm{kn}}\left(i\right)}{20}}\·\exp (j\·\frac{{\mathrm{phasePattern}}_{\mathrm{ka}}\left(i\right)\·\mathrm{\π}}{180})|}^2$

The actual power output valve of said smart antenna array when simulation is imported the corresponding port with broadcast beam weight, and the actual power output valve that will simulate is issued said evaluation module;

Wherein, ka is an antenna index, and Ka is the number of antenna that smart antenna array comprises, ampPattern _Ka(i) be in the amplitude pattern of the corresponding port of ka root antenna, the range value of i test point, phasePattern _Ka(i) be in the phase pattern of the corresponding port of ka root antenna; The phase value of i test point; AntAMP (ka) is the corresponding range value of broadcast beam weight of the corresponding port of input ka root antenna; AntPHZ (ka) is the corresponding phase value of broadcast beam weight of the corresponding port of input ka root antenna, and P (θ (i)) is the actual power output valve of the smart antenna array that simulates of range value and the phase value according to corresponding test point;

Said evaluation module; The broadcast beam weight of each port of input smart antenna array is issued input module; Receive the actual power output valve that analog module simulates, relatively the actual power output valve and the target power output valve of simulation are in the two difference not during first predetermined condition; Upgrade broadcast beam weight; The broadcast beam weight that upgrades is issued said input module, when the difference second predetermined condition of the two, corresponding broadcast beam weight is confirmed as the broadcast beam weight that obtains.

12. device as claimed in claim 11 is characterized in that,

Whether said evaluation module, the variance of actual power output valve and target power output valve of judging simulation less than first predetermined value, if less than, then upgrade broadcast beam weight.

13. device as claimed in claim 11 is characterized in that,

Said evaluation module; Write down minimum variance in the variance of actual power output valve and target power output valve of each time simulation, and the corresponding broadcast beam weight of variance that should minimum, judge this minimum variance keeps the number of times of minimum whether to reach second predetermined value in the pairing variance of each time simulation; If; The corresponding broadcast beam weight of the variance that this is minimum is confirmed as the broadcast beam weight that obtains, and if not, upgrades broadcast beam weight.

14. device as claimed in claim 11 is characterized in that,

Said evaluation module on the basis of current broadcast wave beam weight, adds or deducts the renewal step-length of said broadcast beam weight randomly, with the broadcast beam weight of gained result as renewal.

15. device as claimed in claim 14 is characterized in that,

Said evaluation module, the broadcast beam weight that judge to upgrade whether in preset range, if, the broadcast beam weight that upgrades is issued input module, if not, upgrade broadcast beam weight again.

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